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The simple reason why they don’t do it: It has to be 100% reliable. Robots get stuck, need charge, software has bugs, … So your fleet of robots would need super
by maxwellsdeamons 9mo ago
The simple reason why they don’t do it: It has to be 100% reliable. Robots get stuck, need charge, software has bugs, … So your fleet of robots would need supervision. Probably for years to come.
And a human driver only costs like 70-80k a year.
- ensocode 9mo agoA human supervisor monitoring 10 or more vehicles and unstuck them in case will also not cost more per year.
- maxwellsdeamons 9mo agoYeah, but this requires good teleoperator infrastructure. You can’t unstuck a robot that loses connection. There are just a lot of things that can go wrong. And an entire car being stuck and waiting for someone to come is also not cheap. I am pretty sure Amazon (one of the biggest robotics company on the planet btw) has done the math.
- fennecbutt 9mo agoThe point of machine learning based systems (imo) is that they aren't 100% reliable. Idk where people are getting the idea that systems designed to mimic biological brains will have machinelike precision whilst also being flexible to adapt to new situations.